Evidence map›Paper›PMID 37332373›Full record

ArticleIranian journal of nursing and midwifery research

Exploring the Impacts of Caring for Hospitalized COVID-19 Patients on Nurses: A Qualitative Descriptive Study.

Meimanat Hosseini, Saeed Ghasemi, Sima Hejazi

Abstract read
In one paragraph

Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Meimanat HosseiniDepartment of Community Health Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saeed GhasemiDepartment of Community Health Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sima HejaziDepartment of Nursing, Bojnurd Faculty of Nursing, North Khorasan University of Medical Sciences, Bojnurd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impacts of caring for hospitalized COVID-19 patients on nurses are wide and varied and have not been comprehensively explained in the existing literature. The aim of this study was to explore the nurses' perception of the impacts of caring for hospitalized COVID-19 patients. Materials and Methods: In this qualitative descriptive study, data were collected via semi-structured interviews with 20 nurses and head nurses of emergency/internal wards and Intensive Care Units (ICUs) of 2 hospitals in Tehran, Iran. The purposive sampling method was used, and data analysis was performed using a conventional content analysis approach. Results: After data analysis, 12 subcategories, 3 main categories, and 1 theme (professional resilience) were extracted. The three main categories included "complex care," "professional development," and "caring self-efficacy." Caring for hospitalized COVID-19 patients was complex for nurses; however, the care provided to these patients could also lead to the nurses' professional development and caring self-efficacy. Conclusions: Health organizations and nursing managers can better manage the COVID-19 pandemic and other similar future crises through strategies such as providing nurses with adequate and diverse resources and facilities, encouraging and supporting nurses in various dimensions, providing positive media advertisements for the nursing profession and nurses, and providing nurses with necessary and applicable knowledge and skills.

Indexed as

COVID-19Irannursespatient carequalitative researchresilience

Identifiers

PMID37332373
PMCPMC10275471

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.